Using solar panels for business purposes : evidence based on high-frequency power usage data
Year of publication: |
2021
|
---|---|
Authors: | Weisser, Christoph ; Lenel, Friederike ; Lu, Yao ; Kis-Katos, Krisztina ; Kneib, Thomas |
Published in: |
Development engineering. - Amsterdam : Elsevier, ISSN 2352-7285, ZDB-ID 2858951-8. - Vol. 6.2021, p. 1-19
|
Subject: | Big data | Credit default | High-frequency electricity usage data | Off-grid energy | Risk management | Rural electrification | Solar panels | Supervised machine learning | Tanzania | Time-dependent proportional hazards model | XGBoost | Sonnenenergie | Solar energy | Risikomanagement | Tansania | Künstliche Intelligenz | Artificial intelligence | Panel | Panel study | Big Data | Ländliche Energieversorgung | Rural energy |
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Using solar panels for business purposes : evidence based on high-frequency power usage data
Weisser, Christoph, (2021)
-
Using solar panels for business purposes: Evidence based on high-frequency power usage data
Weisser, Christoph, (2021)
-
Using solar panels for business purposes: Evidence based on high-frequency power usage data
Weisser, Christoph, (2021)
- More ...
-
Using solar panels for business purposes: Evidence based on high-frequency power usage data
Weisser, Christoph, (2021)
-
Using solar panels for business purposes: Evidence based on high-frequency power usage data
Weisser, Christoph, (2021)
-
Using solar panels for business purposes : evidence based on high-frequency power usage data
Weisser, Christoph, (2021)
- More ...